Model for Performance Analysis of Distributed Stream Processing
Applications

D 2015

Model for Performance Analysis of Distributed Stream Processing Applications

NÁLEPA, Filip, Michal BATKO and Pavel ZEZULA

Basic information

Original name

Model for Performance Analysis of Distributed Stream Processing Applications

Authors

NÁLEPA, Filip (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)

Edition

Cham, Database and Expert Systems Applications, p. 520-533, 14 pp. 2015

Publisher

Springer International Publishing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Spain

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/15:00081009

Organization unit

Faculty of Informatics

ISBN

978-3-319-22851-8

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-22852-5_42

Keywords in English

Stream processing; Performance analysis; Data stream model

Abstract

V originále

Nowadays, a lot of data is produced every second and it needs to be processed immediately. Processing such unbounded streams of data is often applied in a distributed environment in order to achieve high throughput. There is a challenge to predict the performance-related characteristics of such applications. Knowledge of these properties is essential for decisions about the amount of needed computational resources, how the computations should be spread in the distributed environment, etc. In this paper, we propose a model to represent such streaming applications with the respect to their performance related properties. We present a conversion of the model to Colored Petri Nets (CPNs) which is used for performance analysis of the original application. The behavior of the proposed model and its conversion to the CPNs is validated through experiments. Our prediction was able to achieve nearly 100 % precise maximum delays of real stream processing applications.

Links

GBP103/12/G084, research and development project

Name: Centrum pro multi-modální interpretaci dat velkého rozsahu

Investor: Czech Science Foundation

Citovat

NÁLEPA, Filip, Michal BATKO and Pavel ZEZULA. Model for Performance Analysis of Distributed Stream Processing Applications. In Chen, Qiming and Hameurlain, Abdelkader and Toumani, Farouk and Wagner, Roland and Decker, Hendrik. Database and Expert Systems Applications. Cham: Springer International Publishing, 2015, p. 520-533. ISBN 978-3-319-22851-8. Available from: https://dx.doi.org/10.1007/978-3-319-22852-5_42.

@inproceedings{1310418,
   author = {Nálepa, Filip and Batko, Michal and Zezula, Pavel},
   address = {Cham},
   booktitle = {Database and Expert Systems Applications},
   doi = {http://dx.doi.org/10.1007/978-3-319-22852-5_42},
   editor = {Chen, Qiming and Hameurlain, Abdelkader and Toumani, Farouk and Wagner, Roland and Decker, Hendrik},
   keywords = {Stream processing; Performance analysis; Data stream model},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Cham},
   isbn = {978-3-319-22851-8},
   pages = {520-533},
   publisher = {Springer International Publishing},
   title = {Model for Performance Analysis of Distributed Stream Processing Applications},
   year = {2015}
}

TY  - JOUR
ID  - 1310418
AU  - Nálepa, Filip - Batko, Michal - Zezula, Pavel
PY  - 2015
TI  - Model for Performance Analysis of Distributed Stream Processing Applications
PB  - Springer International Publishing
CY  - Cham
SN  - 9783319228518
KW  - Stream processing
KW  - Performance analysis
KW  - Data stream model
N2  - Nowadays, a lot of data is produced every second and it needs to be processed immediately. Processing such unbounded streams of data is often applied in a distributed environment in order to achieve high throughput. There is a challenge to predict the performance-related characteristics of such applications. Knowledge of these properties is essential for decisions about the amount of needed computational resources, how the computations should be spread in the distributed environment, etc. In this paper, we propose a model to represent such streaming applications with the respect to their performance related properties. We present a conversion of the model to Colored Petri Nets (CPNs) which is used for performance analysis of the original application. The behavior of the proposed model and its conversion to the CPNs is validated through experiments. Our prediction was able to achieve nearly 100 % precise maximum delays of real stream processing applications.
ER  -

NÁLEPA, Filip, Michal BATKO and Pavel ZEZULA. Model for Performance Analysis of Distributed Stream Processing Applications. In Chen, Qiming and Hameurlain, Abdelkader and Toumani, Farouk and Wagner, Roland and Decker, Hendrik. \textit{Database and Expert Systems Applications}. Cham: Springer International Publishing, 2015, p.~520-533. ISBN~978-3-319-22851-8. Available from: https://dx.doi.org/10.1007/978-3-319-22852-5\_{}42.

Detailed Information on Publication Record